A how-to-model guide for neuroscience

Gunnar Blohm, Konrad P. Kording, Paul R. Schrater

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Within neuroscience, models have many roles, including driving hypotheses, making assumptions explicit, synthesizing knowledge, making experimental predictions, and facilitating applications to medicine. While specific modeling techniques are often taught, the process of constructing models for a given phenomenon or question is generally left opaque. Here, informed by guiding many students through modeling exercises at our summer school in CoSMo (Computational Sensory-Motor Neuroscience), we provide a practical 10-step breakdown of the modeling process. This approach makes choices and criteria more explicit and replicable. Experiment design has long been taught in neuroscience; the modeling process should receive the same attention.

Original languageEnglish (US)
Article numberENEURO.0352-19.2019
Issue number1
StatePublished - Feb 13 2020

Bibliographical note

Funding Information:
This work was supported with funding from the National Institutes of Health (Grant R25-MH-109110-01) and The Brain Canada Foundation.

Publisher Copyright:
© 2020 Blohm et al.


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